Overview

Dataset statistics

Number of variables24
Number of observations300
Missing cells2400
Missing cells (%)33.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory58.6 KiB
Average record size in memory200.0 B

Variable types

NUM17
UNSUPPORTED6
CAT1

Warnings

hw1_score has 150 (50.0%) missing values Missing
hw2_score has 150 (50.0%) missing values Missing
hw3_score has 150 (50.0%) missing values Missing
hw4_score has 150 (50.0%) missing values Missing
hw5_score has 150 (50.0%) missing values Missing
hw6_score has 150 (50.0%) missing values Missing
hw7_score has 150 (50.0%) missing values Missing
hw8_score has 150 (50.0%) missing values Missing
hw9_score has 150 (50.0%) missing values Missing
hw10_score has 150 (50.0%) missing values Missing
exam1_score has 150 (50.0%) missing values Missing
exam2_score has 150 (50.0%) missing values Missing
exam3_score has 150 (50.0%) missing values Missing
hw_avg has 150 (50.0%) missing values Missing
exam_avg has 150 (50.0%) missing values Missing
final_grade has 150 (50.0%) missing values Missing
First Name is an unsupported type, check if it needs cleaning or further analysis Unsupported
Last Name is an unsupported type, check if it needs cleaning or further analysis Unsupported
SID is an unsupported type, check if it needs cleaning or further analysis Unsupported
Name is an unsupported type, check if it needs cleaning or further analysis Unsupported
NetID is an unsupported type, check if it needs cleaning or further analysis Unsupported
Email Address is an unsupported type, check if it needs cleaning or further analysis Unsupported
ID has 150 (50.0%) zeros Zeros

Reproduction

Analysis started2021-08-03 15:30:10.025373
Analysis finished2021-08-03 15:30:52.025549
Duration42 seconds
Software versionpandas-profiling v2.9.0
Download configurationconfig.yaml

Variables

First Name
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.7 KiB

Last Name
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.7 KiB

SID
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.7 KiB

ID
Real number (ℝ≥0)

ZEROS

Distinct151
Distinct (%)50.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2721130.983
Minimum0
Maximum9975979
Zeros150
Zeros (%)50.0%
Memory size2.3 KiB
2021-08-03T11:30:52.095583image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median530737.5
Q35638953.5
95-th percentile9060981.5
Maximum9975979
Range9975979
Interquartile range (IQR)5638953.5

Descriptive statistics

Standard deviation3313224.973
Coefficient of variation (CV)1.217591139
Kurtosis-0.9023457868
Mean2721130.983
Median Absolute Deviation (MAD)530737.5
Skewness0.7926558303
Sum816339295
Variance1.097745972e+13
MonotocityNot monotonic
2021-08-03T11:30:52.247583image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
015050.0%
 
910305710.3%
 
756689510.3%
 
254614910.3%
 
379226810.3%
 
642749310.3%
 
748518010.3%
 
625324310.3%
 
285858310.3%
 
383010610.3%
 
Other values (141)14147.0%
 
ValueCountFrequency (%) 
015050.0%
 
106147510.3%
 
106761510.3%
 
114248410.3%
 
123456710.3%
 
ValueCountFrequency (%) 
997597910.3%
 
980455610.3%
 
975604210.3%
 
970787810.3%
 
965093910.3%
 

Name
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.7 KiB

NetID
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.7 KiB

Email Address
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.7 KiB

Section
Categorical

Distinct4
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
0
150 
1
56 
2
51 
3
43 
ValueCountFrequency (%) 
015050.0%
 
15618.7%
 
25117.0%
 
34314.3%
 
2021-08-03T11:30:52.403583image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2021-08-03T11:30:52.488582image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-03T11:30:52.599587image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length3
Median length3
Mean length3
Min length3

hw1_score
Real number (ℝ≥0)

MISSING

Distinct34
Distinct (%)22.7%
Missing150
Missing (%)50.0%
Infinite0
Infinite (%)0.0%
Mean77.525
Minimum0
Maximum100
Zeros1
Zeros (%)0.3%
Memory size2.3 KiB
2021-08-03T11:30:52.706584image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile61.25
Q166.25
median77.5
Q388.4375
95-th percentile98.1875
Maximum100
Range100
Interquartile range (IQR)22.1875

Descriptive statistics

Standard deviation13.72555026
Coefficient of variation (CV)0.1770467624
Kurtosis5.21414097
Mean77.525
Median Absolute Deviation (MAD)11.25
Skewness-1.037835975
Sum11628.75
Variance188.3907299
MonotocityNot monotonic
2021-08-03T11:30:52.825581image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%) 
61.2593.0%
 
62.593.0%
 
92.572.3%
 
66.2562.0%
 
63.7562.0%
 
78.7562.0%
 
93.7551.7%
 
6051.7%
 
8051.7%
 
10051.7%
 
Other values (24)8729.0%
 
(Missing)15050.0%
 
ValueCountFrequency (%) 
010.3%
 
6051.7%
 
61.2593.0%
 
62.593.0%
 
63.7562.0%
 
ValueCountFrequency (%) 
10051.7%
 
98.7531.0%
 
97.520.7%
 
96.2541.3%
 
9510.3%
 

hw2_score
Real number (ℝ≥0)

MISSING

Distinct33
Distinct (%)22.0%
Missing150
Missing (%)50.0%
Infinite0
Infinite (%)0.0%
Mean80.65833333
Minimum60
Maximum100
Zeros0
Zeros (%)0.0%
Memory size2.3 KiB
2021-08-03T11:30:52.949583image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum60
5-th percentile61.25
Q169.0625
median81.25
Q392.5
95-th percentile98.1875
Maximum100
Range40
Interquartile range (IQR)23.4375

Descriptive statistics

Standard deviation12.50058444
Coefficient of variation (CV)0.1549819333
Kurtosis-1.318213981
Mean80.65833333
Median Absolute Deviation (MAD)11.25
Skewness-0.09387705239
Sum12098.75
Variance156.2646113
MonotocityNot monotonic
2021-08-03T11:30:53.082582image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%) 
92.5103.3%
 
7582.7%
 
96.2572.3%
 
82.572.3%
 
66.2572.3%
 
76.2572.3%
 
6572.3%
 
97.572.3%
 
6062.0%
 
10062.0%
 
Other values (23)7826.0%
 
(Missing)15050.0%
 
ValueCountFrequency (%) 
6062.0%
 
61.2541.3%
 
62.541.3%
 
63.7541.3%
 
6572.3%
 
ValueCountFrequency (%) 
10062.0%
 
98.7520.7%
 
97.572.3%
 
96.2572.3%
 
9551.7%
 

hw3_score
Real number (ℝ≥0)

MISSING

Distinct33
Distinct (%)22.0%
Missing150
Missing (%)50.0%
Infinite0
Infinite (%)0.0%
Mean78.96666667
Minimum60
Maximum100
Zeros0
Zeros (%)0.0%
Memory size2.3 KiB
2021-08-03T11:30:53.226582image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum60
5-th percentile61.25
Q168.75
median77.5
Q390
95-th percentile96.25
Maximum100
Range40
Interquartile range (IQR)21.25

Descriptive statistics

Standard deviation11.65764672
Coefficient of variation (CV)0.1476274384
Kurtosis-1.174317935
Mean78.96666667
Median Absolute Deviation (MAD)8.75
Skewness0.1420901009
Sum11845
Variance135.9007271
MonotocityNot monotonic
2021-08-03T11:30:53.465585image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%) 
68.75103.3%
 
66.2593.0%
 
96.2593.0%
 
81.2582.7%
 
7582.7%
 
73.7572.3%
 
78.7562.0%
 
71.2562.0%
 
9562.0%
 
6062.0%
 
Other values (23)7525.0%
 
(Missing)15050.0%
 
ValueCountFrequency (%) 
6062.0%
 
61.2541.3%
 
62.551.7%
 
63.7520.7%
 
6520.7%
 
ValueCountFrequency (%) 
10020.7%
 
98.7520.7%
 
97.531.0%
 
96.2593.0%
 
9562.0%
 

hw4_score
Real number (ℝ≥0)

MISSING

Distinct41
Distinct (%)27.3%
Missing150
Missing (%)50.0%
Infinite0
Infinite (%)0.0%
Mean78.68666667
Minimum60
Maximum100
Zeros0
Zeros (%)0.0%
Memory size2.3 KiB
2021-08-03T11:30:53.610588image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum60
5-th percentile62
Q169
median78
Q387
95-th percentile96
Maximum100
Range40
Interquartile range (IQR)18

Descriptive statistics

Standard deviation10.97106424
Coefficient of variation (CV)0.1394272334
Kurtosis-1.083438889
Mean78.68666667
Median Absolute Deviation (MAD)9
Skewness0.1563442454
Sum11803
Variance120.3642506
MonotocityNot monotonic
2021-08-03T11:30:53.750586image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%) 
6882.7%
 
6572.3%
 
8772.3%
 
9562.0%
 
7562.0%
 
8162.0%
 
8451.7%
 
8051.7%
 
7351.7%
 
7151.7%
 
Other values (31)9030.0%
 
(Missing)15050.0%
 
ValueCountFrequency (%) 
6010.3%
 
6141.3%
 
6241.3%
 
6331.0%
 
6420.7%
 
ValueCountFrequency (%) 
10020.7%
 
9910.3%
 
9831.0%
 
9710.3%
 
9641.3%
 

hw5_score
Real number (ℝ≥0)

MISSING

Distinct29
Distinct (%)19.3%
Missing150
Missing (%)50.0%
Infinite0
Infinite (%)0.0%
Mean79.07619048
Minimum60
Maximum100
Zeros0
Zeros (%)0.0%
Memory size2.3 KiB
2021-08-03T11:30:53.897548image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum60
5-th percentile61.42857143
Q167.5
median78.57142857
Q390
95-th percentile97.92857143
Maximum100
Range40
Interquartile range (IQR)22.5

Descriptive statistics

Standard deviation12.08237338
Coefficient of variation (CV)0.152794075
Kurtosis-1.246880548
Mean79.07619048
Median Absolute Deviation (MAD)11.42857143
Skewness0.07580898186
Sum11861.42857
Variance145.9837465
MonotocityNot monotonic
2021-08-03T11:30:54.017583image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%) 
65.71428571113.7%
 
85.7142857172.3%
 
77.1428571472.3%
 
8072.3%
 
7072.3%
 
97.1428571472.3%
 
6072.3%
 
87.1428571462.0%
 
81.4285714362.0%
 
91.4285714362.0%
 
Other values (19)7926.3%
 
(Missing)15050.0%
 
ValueCountFrequency (%) 
6072.3%
 
61.4285714351.7%
 
62.8571428651.7%
 
64.2857142941.3%
 
65.71428571113.7%
 
ValueCountFrequency (%) 
10020.7%
 
98.5714285762.0%
 
97.1428571472.3%
 
95.7142857141.3%
 
94.2857142951.7%
 

hw6_score
Real number (ℝ≥0)

MISSING

Distinct36
Distinct (%)24.0%
Missing150
Missing (%)50.0%
Infinite0
Infinite (%)0.0%
Mean82.28888889
Minimum60
Maximum100
Zeros0
Zeros (%)0.0%
Memory size2.3 KiB
2021-08-03T11:30:54.152583image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum60
5-th percentile62.22222222
Q173.33333333
median82.77777778
Q393.33333333
95-th percentile98.88888889
Maximum100
Range40
Interquartile range (IQR)20

Descriptive statistics

Standard deviation11.68129121
Coefficient of variation (CV)0.1419546596
Kurtosis-1.162971686
Mean82.28888889
Median Absolute Deviation (MAD)10.55555556
Skewness-0.1903172996
Sum12343.33333
Variance136.4525644
MonotocityNot monotonic
2021-08-03T11:30:54.271581image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%) 
96.66666667103.3%
 
95.5555555682.7%
 
87.7777777872.3%
 
92.2222222272.3%
 
78.8888888962.0%
 
72.2222222262.0%
 
82.2222222262.0%
 
94.4444444462.0%
 
98.8888888962.0%
 
73.3333333362.0%
 
Other values (26)8227.3%
 
(Missing)15050.0%
 
ValueCountFrequency (%) 
6020.7%
 
61.1111111151.7%
 
62.2222222220.7%
 
64.4444444441.3%
 
65.5555555641.3%
 
ValueCountFrequency (%) 
10041.3%
 
98.8888888962.0%
 
97.7777777820.7%
 
96.66666667103.3%
 
95.5555555682.7%
 

hw7_score
Real number (ℝ≥0)

MISSING

Distinct21
Distinct (%)14.0%
Missing150
Missing (%)50.0%
Infinite0
Infinite (%)0.0%
Mean78.65333333
Minimum60
Maximum100
Zeros0
Zeros (%)0.0%
Memory size2.3 KiB
2021-08-03T11:30:54.393582image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum60
5-th percentile60
Q168
median78
Q388
95-th percentile98
Maximum100
Range40
Interquartile range (IQR)20

Descriptive statistics

Standard deviation12.09469719
Coefficient of variation (CV)0.1537722139
Kurtosis-1.130799071
Mean78.65333333
Median Absolute Deviation (MAD)10
Skewness0.1737097993
Sum11798
Variance146.2817002
MonotocityNot monotonic
2021-08-03T11:30:54.497584image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%) 
88124.0%
 
76113.7%
 
66113.7%
 
64103.3%
 
60103.3%
 
6893.0%
 
8293.0%
 
8082.7%
 
9882.7%
 
7282.7%
 
Other values (11)5418.0%
 
(Missing)15050.0%
 
ValueCountFrequency (%) 
60103.3%
 
6231.0%
 
64103.3%
 
66113.7%
 
6893.0%
 
ValueCountFrequency (%) 
10072.3%
 
9882.7%
 
9651.7%
 
9441.3%
 
9241.3%
 

hw8_score
Real number (ℝ≥0)

MISSING

Distinct29
Distinct (%)19.3%
Missing150
Missing (%)50.0%
Infinite0
Infinite (%)0.0%
Mean78.57142857
Minimum60
Maximum100
Zeros0
Zeros (%)0.0%
Memory size2.3 KiB
2021-08-03T11:30:54.617582image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum60
5-th percentile61.42857143
Q168.57142857
median78.57142857
Q388.57142857
95-th percentile98.57142857
Maximum100
Range40
Interquartile range (IQR)20

Descriptive statistics

Standard deviation11.86487405
Coefficient of variation (CV)0.1510074879
Kurtosis-1.18889015
Mean78.57142857
Median Absolute Deviation (MAD)10
Skewness0.0402494042
Sum11785.71429
Variance140.7752363
MonotocityNot monotonic
2021-08-03T11:30:54.735584image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%) 
61.42857143124.0%
 
78.57142857103.3%
 
64.2857142993.0%
 
72.8571428693.0%
 
91.4285714393.0%
 
98.5714285782.7%
 
82.8571428672.3%
 
74.2857142972.3%
 
81.4285714372.3%
 
92.8571428662.0%
 
Other values (19)6622.0%
 
(Missing)15050.0%
 
ValueCountFrequency (%) 
6051.7%
 
61.42857143124.0%
 
62.8571428641.3%
 
64.2857142993.0%
 
65.7142857141.3%
 
ValueCountFrequency (%) 
10010.3%
 
98.5714285782.7%
 
97.1428571410.3%
 
95.7142857131.0%
 
94.2857142951.7%
 

hw9_score
Real number (ℝ≥0)

MISSING

Distinct25
Distinct (%)16.7%
Missing150
Missing (%)50.0%
Infinite0
Infinite (%)0.0%
Mean79.63333333
Minimum60
Maximum100
Zeros0
Zeros (%)0.0%
Memory size2.3 KiB
2021-08-03T11:30:54.872582image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum60
5-th percentile61.66666667
Q171.66666667
median78.33333333
Q389.58333333
95-th percentile97.58333333
Maximum100
Range40
Interquartile range (IQR)17.91666667

Descriptive statistics

Standard deviation11.01972674
Coefficient of variation (CV)0.1383808297
Kurtosis-1.021878752
Mean79.63333333
Median Absolute Deviation (MAD)8.333333333
Skewness0.05567117702
Sum11945
Variance121.4343773
MonotocityNot monotonic
2021-08-03T11:30:54.986583image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%) 
91.66666667124.0%
 
75113.7%
 
73.3333333393.0%
 
8093.0%
 
8593.0%
 
66.6666666782.7%
 
71.6666666772.3%
 
78.3333333372.3%
 
76.6666666772.3%
 
83.3333333362.0%
 
Other values (15)6521.7%
 
(Missing)15050.0%
 
ValueCountFrequency (%) 
6041.3%
 
61.6666666751.7%
 
63.3333333351.7%
 
6541.3%
 
66.6666666782.7%
 
ValueCountFrequency (%) 
10031.0%
 
98.3333333351.7%
 
96.6666666751.7%
 
9551.7%
 
93.3333333320.7%
 

hw10_score
Real number (ℝ≥0)

MISSING

Distinct25
Distinct (%)16.7%
Missing150
Missing (%)50.0%
Infinite0
Infinite (%)0.0%
Mean80.02222222
Minimum60
Maximum100
Zeros0
Zeros (%)0.0%
Memory size2.3 KiB
2021-08-03T11:30:55.108583image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum60
5-th percentile61.66666667
Q170
median81.66666667
Q389.58333333
95-th percentile98.33333333
Maximum100
Range40
Interquartile range (IQR)19.58333333

Descriptive statistics

Standard deviation11.49033681
Coefficient of variation (CV)0.1435893242
Kurtosis-1.146681258
Mean80.02222222
Median Absolute Deviation (MAD)10
Skewness-0.03000150397
Sum12003.33333
Variance132.0278399
MonotocityNot monotonic
2021-08-03T11:30:55.212583image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%) 
85124.0%
 
70113.7%
 
83.3333333393.0%
 
68.3333333382.7%
 
91.6666666782.7%
 
81.6666666772.3%
 
76.6666666772.3%
 
98.3333333362.0%
 
66.6666666762.0%
 
6562.0%
 
Other values (15)7023.3%
 
(Missing)15050.0%
 
ValueCountFrequency (%) 
6051.7%
 
61.6666666741.3%
 
63.3333333351.7%
 
6562.0%
 
66.6666666762.0%
 
ValueCountFrequency (%) 
10041.3%
 
98.3333333362.0%
 
96.6666666741.3%
 
9562.0%
 
93.3333333362.0%
 

exam1_score
Real number (ℝ≥0)

MISSING

Distinct39
Distinct (%)26.0%
Missing150
Missing (%)50.0%
Infinite0
Infinite (%)0.0%
Mean78.24666667
Minimum60
Maximum100
Zeros0
Zeros (%)0.0%
Memory size2.3 KiB
2021-08-03T11:30:55.339587image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum60
5-th percentile61.45
Q168
median77.5
Q388
95-th percentile97.55
Maximum100
Range40
Interquartile range (IQR)20

Descriptive statistics

Standard deviation11.90619751
Coefficient of variation (CV)0.1521623606
Kurtosis-1.22800308
Mean78.24666667
Median Absolute Deviation (MAD)10.5
Skewness0.1786922164
Sum11737
Variance141.7575391
MonotocityNot monotonic
2021-08-03T11:30:55.462588image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%) 
6882.7%
 
8872.3%
 
6472.3%
 
7262.0%
 
7462.0%
 
7051.7%
 
7351.7%
 
9251.7%
 
9151.7%
 
6651.7%
 
Other values (29)9130.3%
 
(Missing)15050.0%
 
ValueCountFrequency (%) 
6051.7%
 
6131.0%
 
6241.3%
 
6351.7%
 
6472.3%
 
ValueCountFrequency (%) 
10041.3%
 
9931.0%
 
9810.3%
 
9731.0%
 
9651.7%
 

exam2_score
Real number (ℝ≥0)

MISSING

Distinct39
Distinct (%)26.0%
Missing150
Missing (%)50.0%
Infinite0
Infinite (%)0.0%
Mean80.59333333
Minimum60
Maximum100
Zeros0
Zeros (%)0.0%
Memory size2.3 KiB
2021-08-03T11:30:55.701584image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum60
5-th percentile62
Q170
median80
Q392
95-th percentile99
Maximum100
Range40
Interquartile range (IQR)22

Descriptive statistics

Standard deviation12.28907774
Coefficient of variation (CV)0.1524825595
Kurtosis-1.369375919
Mean80.59333333
Median Absolute Deviation (MAD)11
Skewness0.02159388261
Sum12089
Variance151.0214318
MonotocityNot monotonic
2021-08-03T11:30:55.817583image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%) 
6893.0%
 
9172.3%
 
7372.3%
 
9662.0%
 
7462.0%
 
9562.0%
 
7262.0%
 
9751.7%
 
6251.7%
 
10051.7%
 
Other values (29)8829.3%
 
(Missing)15050.0%
 
ValueCountFrequency (%) 
6020.7%
 
6131.0%
 
6251.7%
 
6341.3%
 
6431.0%
 
ValueCountFrequency (%) 
10051.7%
 
9941.3%
 
9831.0%
 
9751.7%
 
9662.0%
 

exam3_score
Real number (ℝ≥0)

MISSING

Distinct40
Distinct (%)26.7%
Missing150
Missing (%)50.0%
Infinite0
Infinite (%)0.0%
Mean81.48666667
Minimum60
Maximum100
Zeros0
Zeros (%)0.0%
Memory size2.3 KiB
2021-08-03T11:30:55.946584image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum60
5-th percentile62
Q168.25
median84
Q392.75
95-th percentile98.55
Maximum100
Range40
Interquartile range (IQR)24.5

Descriptive statistics

Standard deviation12.48286701
Coefficient of variation (CV)0.1531890739
Kurtosis-1.299078497
Mean81.48666667
Median Absolute Deviation (MAD)10
Skewness-0.2708448296
Sum12223
Variance155.8219687
MonotocityNot monotonic
2021-08-03T11:30:56.068586image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%) 
9082.7%
 
8682.7%
 
6272.3%
 
9572.3%
 
9962.0%
 
9762.0%
 
9351.7%
 
6651.7%
 
8751.7%
 
6851.7%
 
Other values (30)8829.3%
 
(Missing)15050.0%
 
ValueCountFrequency (%) 
6041.3%
 
6120.7%
 
6272.3%
 
6320.7%
 
6451.7%
 
ValueCountFrequency (%) 
10020.7%
 
9962.0%
 
9831.0%
 
9762.0%
 
9651.7%
 

hw_avg
Real number (ℝ≥0)

MISSING

Distinct150
Distinct (%)100.0%
Missing150
Missing (%)50.0%
Infinite0
Infinite (%)0.0%
Mean79.40820635
Minimum69.97619048
Maximum89.27777778
Zeros0
Zeros (%)0.0%
Memory size2.3 KiB
2021-08-03T11:30:56.207589image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum69.97619048
5-th percentile72.56079365
Q176.5109127
median79.72003968
Q382.33988095
95-th percentile85.39005952
Maximum89.27777778
Range19.3015873
Interquartile range (IQR)5.828968254

Descriptive statistics

Standard deviation4.046239372
Coefficient of variation (CV)0.05095492718
Kurtosis-0.5198754652
Mean79.40820635
Median Absolute Deviation (MAD)3.07281746
Skewness-0.114790668
Sum11911.23095
Variance16.37205305
MonotocityNot monotonic
2021-08-03T11:30:56.337585image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
80.22510.3%
 
80.1948412710.3%
 
76.4043650810.3%
 
79.6857142910.3%
 
82.4940476210.3%
 
83.0424603210.3%
 
76.5710317510.3%
 
75.1511904810.3%
 
80.4460317510.3%
 
83.0988095210.3%
 
Other values (140)14046.7%
 
(Missing)15050.0%
 
ValueCountFrequency (%) 
69.9761904810.3%
 
70.5603174610.3%
 
70.8837301610.3%
 
70.8976190510.3%
 
71.7769841310.3%
 
ValueCountFrequency (%) 
89.2777777810.3%
 
88.0527777810.3%
 
87.8992063510.3%
 
87.278174610.3%
 
85.9666666710.3%
 

exam_avg
Real number (ℝ≥0)

MISSING

Distinct65
Distinct (%)43.3%
Missing150
Missing (%)50.0%
Infinite0
Infinite (%)0.0%
Mean80.10888889
Minimum63
Maximum97.66666667
Zeros0
Zeros (%)0.0%
Memory size2.3 KiB
2021-08-03T11:30:56.481582image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum63
5-th percentile69.33333333
Q176.08333333
median79.66666667
Q384.66666667
95-th percentile90.85
Maximum97.66666667
Range34.66666667
Interquartile range (IQR)8.583333333

Descriptive statistics

Standard deviation6.52540457
Coefficient of variation (CV)0.08145668552
Kurtosis-0.1966339247
Mean80.10888889
Median Absolute Deviation (MAD)4.333333333
Skewness0.01570453464
Sum12016.33333
Variance42.5809048
MonotocityNot monotonic
2021-08-03T11:30:56.599547image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
81.3333333362.0%
 
7962.0%
 
87.3333333351.7%
 
78.3333333351.7%
 
78.6666666751.7%
 
88.3333333351.7%
 
77.6666666751.7%
 
77.3333333351.7%
 
85.3333333341.3%
 
73.3333333341.3%
 
Other values (55)10033.3%
 
(Missing)15050.0%
 
ValueCountFrequency (%) 
6310.3%
 
65.6666666710.3%
 
66.3333333310.3%
 
67.3333333310.3%
 
6820.7%
 
ValueCountFrequency (%) 
97.6666666710.3%
 
9410.3%
 
93.6666666710.3%
 
93.3333333310.3%
 
9210.3%
 

final_grade
Real number (ℝ≥0)

MISSING

Distinct150
Distinct (%)100.0%
Missing150
Missing (%)50.0%
Infinite0
Infinite (%)0.0%
Mean79.68847937
Minimum71.71904762
Maximum90.20619048
Zeros0
Zeros (%)0.0%
Memory size2.3 KiB
2021-08-03T11:30:56.730546image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum71.71904762
5-th percentile73.62665476
Q176.82279762
median79.92869048
Q382.15833333
95-th percentile85.28511905
Maximum90.20619048
Range18.48714286
Interquartile range (IQR)5.335535714

Descriptive statistics

Standard deviation3.676015821
Coefficient of variation (CV)0.04612982768
Kurtosis-0.1937613378
Mean79.68847937
Median Absolute Deviation (MAD)2.804642857
Skewness0.08361631475
Sum11953.2719
Variance13.51309232
MonotocityNot monotonic
2021-08-03T11:30:56.848583image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
81.3109523810.3%
 
77.0254761910.3%
 
85.4983333310.3%
 
83.780238110.3%
 
78.5557142910.3%
 
83.9892857110.3%
 
78.1566666710.3%
 
80.6007142910.3%
 
80.9240476210.3%
 
75.7766666710.3%
 
Other values (140)14046.7%
 
(Missing)15050.0%
 
ValueCountFrequency (%) 
71.7190476210.3%
 
72.130238110.3%
 
72.2426190510.3%
 
72.2907142910.3%
 
72.3121428610.3%
 
ValueCountFrequency (%) 
90.2061904810.3%
 
88.5630952410.3%
 
88.3810.3%
 
86.6826190510.3%
 
86.5910.3%
 

Interactions

2021-08-03T11:30:12.269203image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-03T11:30:12.377215image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-03T11:30:12.481857image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-03T11:30:12.594331image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-03T11:30:12.706213image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-03T11:30:12.818005image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-03T11:30:12.931168image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-03T11:30:13.044147image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-03T11:30:13.161715image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-03T11:30:13.279103image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-03T11:30:13.390695image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-03T11:30:13.502618image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-03T11:30:13.614988image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-03T11:30:13.726473image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-03T11:30:13.838165image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-03T11:30:14.052987image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-03T11:30:14.159999image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-03T11:30:14.272075image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-03T11:30:14.373936image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-03T11:30:14.475787image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-03T11:30:14.589828image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-03T11:30:14.704266image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-03T11:30:14.820177image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-03T11:30:14.934695image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-03T11:30:15.047251image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-03T11:30:15.161612image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-03T11:30:15.275334image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-03T11:30:15.389257image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-03T11:30:15.502202image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-03T11:30:15.616477image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-03T11:30:15.733214image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-03T11:30:15.850107image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-03T11:30:15.967269image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-03T11:30:16.076233image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-03T11:30:16.188158image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-03T11:30:16.301746image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-03T11:30:16.420134image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-03T11:30:16.547028image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-03T11:30:16.672868image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-03T11:30:16.800058image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-03T11:30:16.927937image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-03T11:30:17.055993image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-03T11:30:17.184028image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-03T11:30:17.420346image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-03T11:30:17.554484image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-03T11:30:17.689265image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-03T11:30:17.817538image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-03T11:30:17.947562image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-03T11:30:18.075159image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-03T11:30:18.208587image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-03T11:30:18.335043image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-03T11:30:18.463930image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-03T11:30:18.576912image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-03T11:30:18.695144image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-03T11:30:18.823374image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-03T11:30:18.951018image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-03T11:30:19.079547image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-03T11:30:19.207017image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-03T11:30:19.334527image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-03T11:30:19.463706image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-03T11:30:19.590872image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-03T11:30:19.718097image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-03T11:30:19.846389image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-03T11:30:19.973535image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-03T11:30:20.100862image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-03T11:30:20.228026image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-03T11:30:20.355885image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-03T11:30:20.474440image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-03T11:30:20.599936image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-03T11:30:20.713929image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-03T11:30:20.943109image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-03T11:30:21.076168image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-03T11:30:21.207710image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-03T11:30:21.339993image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-03T11:30:21.468128image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-03T11:30:21.596104image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-03T11:30:21.723777image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-03T11:30:21.849712image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-03T11:30:21.976653image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-03T11:30:22.103937image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-03T11:30:22.231668image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-03T11:30:22.358511image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-03T11:30:22.485449image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-03T11:30:22.613290image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-03T11:30:22.732794image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-03T11:30:22.857663image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-03T11:30:22.970279image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-03T11:30:23.085083image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-03T11:30:23.212281image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-03T11:30:23.343262image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-03T11:30:23.471409image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-03T11:30:23.601582image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-03T11:30:23.733605image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-03T11:30:23.865021image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-03T11:30:23.995330image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-03T11:30:24.125859image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-03T11:30:24.256533image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-03T11:30:24.497248image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-03T11:30:24.628112image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-03T11:30:24.757980image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-03T11:30:24.892680image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-03T11:30:25.014620image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-03T11:30:25.143971image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-03T11:30:25.261610image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-03T11:30:25.381663image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-03T11:30:25.511959image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-03T11:30:25.643720image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-03T11:30:25.775606image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-03T11:30:25.906392image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-03T11:30:26.036598image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-03T11:30:26.166784image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-03T11:30:26.297999image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-03T11:30:26.431103image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-03T11:30:26.565348image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-03T11:30:26.698725image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-03T11:30:26.829837image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-03T11:30:26.961415image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-03T11:30:27.092606image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-03T11:30:27.214694image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-03T11:30:27.342937image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-03T11:30:27.460267image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-03T11:30:27.580912image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-03T11:30:27.710480image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
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2021-08-03T11:30:31.860595image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
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2021-08-03T11:30:32.698532image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
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2021-08-03T11:30:34.143984image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-03T11:30:34.265313image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-03T11:30:34.392580image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-03T11:30:34.519872image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-03T11:30:34.653421image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-03T11:30:34.908348image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-03T11:30:35.031489image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-03T11:30:35.153918image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
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2021-08-03T11:30:35.547497image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
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2021-08-03T11:30:35.796091image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-03T11:30:35.912304image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-03T11:30:36.035583image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-03T11:30:36.141596image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-03T11:30:36.251755image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
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2021-08-03T11:30:36.498916image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-03T11:30:36.626595image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-03T11:30:36.746967image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-03T11:30:36.868265image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-03T11:30:36.994812image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-03T11:30:37.116313image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
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2021-08-03T11:30:39.986396image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
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2021-08-03T11:30:49.929526image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Correlations

2021-08-03T11:30:56.983582image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2021-08-03T11:30:57.290582image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
2021-08-03T11:30:57.602582image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2021-08-03T11:30:57.914550image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Missing values

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2021-08-03T11:30:50.851582image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-03T11:30:51.238551image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-08-03T11:30:51.832582image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Sample

First rows

First NameLast NameSIDIDNameNetIDEmail AddressSectionhw1_scorehw2_scorehw3_scorehw4_scorehw5_scorehw6_scorehw7_scorehw8_scorehw9_scorehw10_scoreexam1_scoreexam2_scoreexam3_scorehw_avgexam_avgfinal_grade
0AaronLesteraxl609520.00000.085.0092.5096.2589.072.85714396.66666766.068.57142970.00000068.33333379.063.068.080.51785770.00000076.310714
1AdamCooperamc284280.00000.0100.0097.5097.5087.092.85714361.11111188.062.85714375.00000088.33333365.063.090.085.01587372.66666780.076190
2AlecCurryaxc647170.00000.086.2595.0082.5087.084.28571492.22222286.092.85714396.66666770.00000065.078.083.087.27817575.33333382.500238
3AlexanderRodriguezakr148310.00000.062.5067.5092.5075.077.14285765.55555676.061.42857163.33333378.33333397.097.081.071.92936591.66666779.824286
4AmberDanielsaxd112930.00000.067.5071.2596.2595.067.14285796.66666788.082.85714376.66666798.33333368.095.088.083.96666783.66666783.846667
5AmyAdamsara977410.00000.061.2566.2568.7578.065.71428665.55555698.082.85714365.00000090.00000087.074.076.074.13769879.00000076.082619
6AmyWhitealw076470.00000.088.7575.0090.0095.091.42857196.66666780.061.42857178.33333368.33333399.095.099.082.49404897.66666788.563095
7AmyDunnaxd670700.00000.090.0076.2562.5090.067.14285780.00000086.070.00000080.00000083.33333393.096.086.078.52261991.66666783.780238
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Last rows

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